Intensive Positioning Network for Remote Sensing Image Captioning

This paper focuses on solving the problem of information loss during the generation of remote sensing image captions. In the field of artificial intelligence, the automatic description of remote sensing images is an important but rarely studied task. In the traditional framework, due to the higher pixels of the remote sensing image and the smaller target, when the image is processed and classified, the information is largely lost. In this case, we propose a new remote sensing image captioning framework using deep learning technology and attention mechanism. The experimental results show that the model can generate a full sentence description for remote sensing images.